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Type A
|
Code |
Competences Specific | | | A1.4 |
A1.4. Conceiving, designing, constructing, reformulating and maintaining equipment, applications and efficient designs for experimental and numerical simulation studies in chemical technology. |
| | A1.5 |
A1.5. Formulate, develop and apply materials, products and mechanisms that use nanostructures. |
| | A1.6 |
A1.6. Analyse, identify and evaluate the data obtained from experiments and databases in the field of nanoscience, materials and chemical technology. |
| | A2.2 |
A2.2. Critically evaluating the results of research in the field of nanotechnology, materials and products and process design. |
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Type B
|
Code |
Competences Transversal | | | B4.2 |
B4.2 Learning autonomously and by using initiative. |
| | B5.1 |
B5.1. Working autonomously whilst remaining responsible and using initiative, in a research and innovative context. |
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Type C
|
Code |
Competences Nuclear | | | C1.1 |
Have an intermediate mastery of a foreign language, preferably English |
| | C1.2 |
Be advanced users of the information and communication technologies |
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Type A
|
Code |
Learning outcomes |
| | A1.4 |
A1.4 Plan the statistical design of experiments.
| | | A1.5 |
A1.5 Can develop and apply materials, products and devices that contain nanostructures.
| | | A1.6 |
A1.6 Can analyse, identify and assess data obtained in experiments and from databases in the field of nanoscience and nanoengineering.
| | | A2.2 |
A2.2 Use quality improvement techniques in the laboratory: experimental design, response surfaces.
A2.2 Use quality improvement techniques for inspecting the finished product: control on delivery.
A2.2 Can use tools to apply statistical inference techniques to data obtained from research projects.
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Type B
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Code |
Learning outcomes |
| | B4.2 |
B4.2 Ask the appropriate questions for solving doubts or open questions, and search for information with criteria.
B4.2 Select a procedure from among the possibilities suggested by the lecturer.
| | | B5.1 |
B5.1 Analyse their own limitations and potential for undertaking a particular task.
B5.1 Decide how to manage and organize the work and time required to carry out a task from the basis of a general plan.
B5.1 Decide how to manage and organize the work and time.
B5.1 Reflect on their learning process and learning needs.
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Type C
|
Code |
Learning outcomes |
| | C1.1 |
Express opinions on abstract or cultural topics in a limited fashion.
Explain and justify briefly their opinions and projects.
Understand instructions about classes or tasks assigned by the teaching staff.
Understand routine information and articles.
Understand the general meaning of texts that have non-routine information in a familiar subject area.
Write letters or take notes about foreseeable, familiar matters.
| | | C1.2 |
Understand basic computer hardware.
Understand the operating system as a hardware manager and the software as a working tool.
Use software for off-line communication: word processors, spreadsheets and digital presentations.
Use software for on-line communication: interactive tools (web, moodle, blogs, etc.), e-mail, forums, chat rooms, video conferences, collaborative work tools, etc.
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| Topic |
Sub-topic |
| Introduction |
Introduction to experimental designs. |
| Statistical inference |
Punctual estimation and confidence intervals.
Hypothesis testing.
Analysis of variance.
|
| Factorial designs |
Introduction to full factorial designs.
Introduction to fractional factorial designs.
|
| Response surface |
Response surface designs. |
| Methodologies :: Tests |
| |
Competences |
(*) Class hours
|
Hours outside the classroom
|
(**) Total hours |
| Introductory activities |
|
2 |
4 |
6 |
| Lecture |
|
12 |
24 |
36 |
| Practicals using information and communication technologies (ICTs) in computer rooms |
|
10 |
10 |
20 |
| Assignments |
|
5 |
5 |
10 |
| Personal tuition |
|
1 |
2 |
3 |
| |
| |
(*) On e-learning, hours of virtual attendance of the teacher.
(**) The information in the planning table is for guidance only and does not take into account the heterogeneity of the students. |
Methodologies
| |
Description |
| Introductory activities |
Collection of students’ information and presentation of the subject. |
| Lecture |
Description of the contents of the course. |
| Practicals using information and communication technologies (ICTs) in computer rooms |
Students are asked to solve problems using computers. |
| Assignments |
Students must do practical assignments in which they have to demonstrate the acquirement of some contents of the program. |
| Personal tuition |
Time that the teacher has reserved to attend and answer questions from students. |
|
Description |
|
Students can receive personalized attention during office hours for students, or by email. |
|
Methodologies |
Competences
|
Description |
Weight |
|
|
|
|
| Practicals using information and communication technologies (ICTs) in computer rooms |
|
Students solve problems during the hours of practice. |
60% |
| Assignments |
|
Written reports will be assessed for each assignment to be done. |
40% |
| Others |
|
|
|
| |
|
Other comments and second exam session |
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|
| Basic |
Hicks, C.R.; Turner, K.V., Fundamental concepts in the design of experiments, , Oxford University Press
Montgomery, D.C., Design and analysis of experiments, , Wiley
|
|
| Complementary |
Myers, R.H.; Montgomery, D.C.; Anderson-Cook, C.M., Response surface methodology: process and product optimization using designed experiments, , Wiley
|
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(*)The teaching guide is the document in which the URV publishes the information about all its courses. It is a public document and cannot be modified. Only in exceptional cases can it be revised by the competent agent or duly revised so that it is in line with current legislation. |
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